76561198020191916

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76561198020191916

jura
nuke
dust2
grail
train
anubis
mirage
ancient
inferno
palacio
vertigo
overpass
Trusted
insights

Performance Snapshot

Everything at a glance — full context in the Aim, Mechanics & Trust tabs
46
TeamDocks
our rating
62
Aim
leetify
63
Positioning
leetify
49
Utility
leetify
Best match
14–13 · 1.28
Inferno · peak rating
Matches analysed
4 · 0.95 avg
our demo parsing
Core mechanics vs pro benchmark
Weak Normal Slightly Sus Suspicious Highly Sus
Overall K/D 0.83 · Weak
HS % 56.5% · Normal
Spray Control 55.3 · Normal
Preaim 10.7° · Weak
Counter-Strafing 80.5% · Normal
Time to Damage 669ms · Weak
CS2 Hours
private
Account Age
Steam Level
Bans
0
clean
Games
private
Friends
private
Country
unknown
TeamDocks Rating
46
4 matches with us
database

TeamDocks Match Data

4 matches · our own demo analysis
Performance
TD Rating
46
our skill index
Ø Rating
0.95
Ø K/D
0.83
Ø ADR
64.9
Ø KAST
72.4%
Ø HS
56.5%
Kill-level signals
Wallbang Kills
6%
Smoke Kills
4%
Ø Kill Distance
15.3m
Duel & utility signals
Opening Duel Win
52.6%
10–9 openings
Trade Kills
7
teammate deaths avenged
Clutch Win
10%
1/10 1vX won
Ø Utility Dmg
46
HE + molotov, per match
Ø Equip Value
$3,768
post-buy, per round
Full-buy Win
61.8%
rounds won on a full buy
military_tech

TeamDocks Rating

4 matches · provisional

Our own 0–100 skill index, a weighted composite of every performance dimension we can measure from this player's parsed demos — not Leetify's rating. Each row below shows its raw value, its 0–100 sub-score and how many points it contributed to the final number.

Provisional — based on only 4 analyzed matches. Firms up as more of this player's games get processed.

46
050100
Impact Rating35ADR36KAST64K/D19Headshot %73Spray Control55Counter-Strafe78Flash Quality19
Impact Rating 0.95
27% weight +9.3
KAST 72.4%
14% weight +9.1
Counter-Strafe 78
10% weight +7.4
Spray Control 55.3
11% weight +6.3
Headshot % 56.5%
8% weight +5.6
ADR 64.9
14% weight +5.1
K/D 0.83
11% weight +2.2
Flash Quality 19%
5% weight +0.9

Final score = weighted average of each dimension's 0–100 sub-score. Contribution = sub-score × (renormalized weight). Not affiliated with Valve/Leetify/FACEIT — this is our own measure from our own demo parsing.